pip install tqdm

# !/user/bin/env python
# -*- coding:utf-8 -*-
 
 
import time
from tqdm import tqdm
from tqdm._tqdm import trange
 
for i in tqdm(range(100)):
  time.sleep(0.01)

import time
from tqdm import tqdm
from tqdm._tqdm import trange
 
for j in trange(100):
  time.sleep(0.1)

alist = list('letters')
bar = tqdm(alist)
for letter in bar:
  bar.set_description(f"Now get {letter}")

  pbar = tqdm(["a", "b", "c", "d"])
  for char in pbar:
    pbar.set_description("Processing %s" % char)

with tqdm(total=100) as pbar:
  for i in range(10):
    pbar.update(10)
 
 
# 也可以这样
pbar = tqdm(total=100)
for i in range(10):
  pbar.update(10)
pbar.close()

import pandas as pd
import numpy as np
 
df = pd.DataFrame(np.random.randint(0, 100, (10000000, 6)))
tqdm.pandas(desc="my bar！")
df.progress_apply(lambda x: x**2)

$ time find . -name '*.py' -exec cat \{} \; | wc -l
857365 
 
real  0m3.458s
user  0m0.274s
sys   0m3.325s 
 
$ time find . -name '*.py' -exec cat \{} \; | tqdm | wc -l
857366it [00:03, 246471.31it/s]
857365
 
real  0m3.585s
user  0m0.862s
sys   0m3.358s

$ find . -name '*.py' -exec cat \{} \; |
  tqdm --unit loc --unit_scale --total 857366  /dev/null
100%|███████████████████████████████████| 857K/857K [00:04<00:00, 246Kloc/s]

$ 7z a -bd -r backup.7z docs/ | grep Compressing |
  tqdm --total $(find docs/ -type f | wc -l) --unit files  backup.log
100%|███████████████████████████████▉| 8014/8014 [01:37<00:00, 82.29files/s]